메뉴 건너뛰기




Volumn 58, Issue 17, 2013, Pages 5899-5915

Automated prostate segmentation in whole-body MRI scans for epidemiological studies

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED SEGMENTATION METHOD; AUTOMATICALLY GENERATED; BENIGN PROSTATE HYPERPLASIA; EPIDEMIOLOGICAL STUDIES; NEIGHBORHOOD INFORMATION; PROSTATE SEGMENTATION; SEGMENTATION QUALITY; SPEARMAN'S RANK CORRELATION COEFFICIENTS;

EID: 84883153153     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/58/17/5899     Document Type: Article
Times cited : (8)

References (57)
  • 2
    • 0029998786 scopus 로고    scopus 로고
    • Determination of prostatic volume with transrectal ultrasound: A study of intra-observer and interobserver variation
    • 10.1016/S0022-5347(01)66250-5 0022-5347
    • Bates T, Reynard J, Peters T and Gingell J 1996 Determination of prostatic volume with transrectal ultrasound: a study of intra-observer and interobserver variation J. Urol. 155 1299-300
    • (1996) J. Urol. , vol.155 , Issue.4 , pp. 1299-1300
    • Bates, T.1    Reynard, J.2    Peters, T.3    Gingell, J.4
  • 3
    • 84908219488 scopus 로고
    • Statistical methods for assessing agreement between two methods of clinical measurement
    • 10.1016/S0140-6736(86)90837-8 0140-6736
    • Bland J M and Altman D G 1986 Statistical methods for assessing agreement between two methods of clinical measurement Lancet 327 307-10
    • (1986) Lancet , vol.327 , Issue.8476 , pp. 307-310
    • Bland, J.M.1    Altman, D.G.2
  • 4
    • 34247253303 scopus 로고    scopus 로고
    • Implementation and evaluation of a new workflow for registration and segmentation of pulmonary MRI data for regional lung perfusion assessment
    • 10.1088/0031-9155/52/5/004 0031-9155
    • Böttger T, Grunewald K, Schöbinger M, Fink C, Risse F, Kauczor H U, Meinzer H P and Wolf I 2007 Implementation and evaluation of a new workflow for registration and segmentation of pulmonary MRI data for regional lung perfusion assessment Phys. Med. Biol. 52 1261
    • (2007) Phys. Med. Biol. , vol.52 , Issue.5 , pp. 1261
    • Böttger, T.1    Grunewald, K.2    Schöbinger, M.3    Fink, C.4    Risse, F.5    Kauczor, H.U.6    Meinzer, H.P.7    Wolf, I.8
  • 6
    • 78449235459 scopus 로고    scopus 로고
    • Segmenting the prostate and rectum in CT imagery using anatomical constraints
    • 10.1016/j.media.2010.06.004 1361-8415
    • Chen S, Lovelock D M and Radke R J 2011 Segmenting the prostate and rectum in CT imagery using anatomical constraints Med. Image Anal. 15 1-11
    • (2011) Med. Image Anal. , vol.15 , Issue.1 , pp. 1-11
    • Chen, S.1    Lovelock, D.M.2    Radke, R.J.3
  • 7
    • 34249753618 scopus 로고
    • Support-vector networks
    • Cortes C and Vapnik V 1995 Support-vector networks Machine Learning vol 20 (Boston: Kluwer) pp 273-97
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 9
    • 43449116665 scopus 로고    scopus 로고
    • Semi-automated segmentation of the prostate gland boundary in ultrasound images using a machine learning approach
    • 10.1117/12.770965 0277-786X
    • Diaz K and Castaneda B 2008 Semi-automated segmentation of the prostate gland boundary in ultrasound images using a machine learning approach Proc. SPIE 6914 69144A
    • (2008) Proc. SPIE , vol.6914
    • Diaz, K.1    Castaneda, B.2
  • 10
    • 0021132985 scopus 로고
    • Simple proton spectroscopic imaging
    • Dixon W T 1984 Simple proton spectroscopic imaging Radiology 153 189-94
    • (1984) Radiology , vol.153 , pp. 189-194
    • Dixon, W.T.1
  • 13
    • 77957563337 scopus 로고    scopus 로고
    • A coupled global registration and segmentation framework with application to magnetic resonance prostate imagery
    • 10.1109/TMI.2010.2052065 0278-0062
    • Gao Y, Sandhu R, Fichtinger G and Tannenbaum A R 2010 A coupled global registration and segmentation framework with application to magnetic resonance prostate imagery IEEE Trans. Med. Imaging 29 1781-94
    • (2010) IEEE Trans. Med. Imaging , vol.29 , Issue.10 , pp. 1781-1794
    • Gao, Y.1    Sandhu, R.2    Fichtinger, G.3    Tannenbaum, A.R.4
  • 17
    • 77953812781 scopus 로고    scopus 로고
    • A fully automatic three-step liver segmentation method on LDA-based probability maps for multiple contrast MR images
    • 10.1016/j.mri.2010.03.010 0730-725X
    • Gloger O, Kuhn J, Stanski A, Volzke H and Puls R 2010 A fully automatic three-step liver segmentation method on LDA-based probability maps for multiple contrast MR images Magn. Reson. Imaging 28 882-97
    • (2010) Magn. Reson. Imaging , vol.28 , Issue.6 , pp. 882-897
    • Gloger, O.1    Kuhn, J.2    Stanski, A.3    Volzke, H.4    Puls, R.5
  • 20
    • 67849101257 scopus 로고    scopus 로고
    • Whole-body magnetic resonance imaging of healthy volunteers: Pilot study results from the population-based SHIP study
    • 10.1055/s-0028-1109510 1438-9029
    • Hegenscheid K, Kühn J P, Völzke H, Biffar R, Hosten N and Puls R 2009 Whole-body magnetic resonance imaging of healthy volunteers: pilot study results from the population-based SHIP study Rofo 181 748-59
    • (2009) Rofo , vol.181 , Issue.8 , pp. 748-759
    • Hegenscheid, K.1    Kühn, J.P.2    Völzke, H.3    Biffar, R.4    Hosten, N.5    Puls, R.6
  • 21
    • 84864257364 scopus 로고    scopus 로고
    • Interactive semiautomatic contour delineation using statistical conditional random fields framework
    • 10.1118/1.4728979 0094-2405
    • Hu Y C, Grossberg M D, Wu A, Riaz N, Perez C and Mageras G S 2012 Interactive semiautomatic contour delineation using statistical conditional random fields framework Med. Phys. 39 4547
    • (2012) Med. Phys. , vol.39 , Issue.7 , pp. 4547
    • Hu, Y.C.1    Grossberg, M.D.2    Wu, A.3    Riaz, N.4    Perez, C.5    Mageras, G.S.6
  • 24
    • 84871121653 scopus 로고    scopus 로고
    • Computer-aided diagnosis of breast microcalcifications based on dual-tree complex wavelet transform
    • 10.1186/1475-925X-11-96 1475-925X
    • Jian W, Sun X and Luo S 2012 Computer-aided diagnosis of breast microcalcifications based on dual-tree complex wavelet transform Biomed. Eng. Online 11 96
    • (2012) Biomed. Eng. Online , vol.11 , Issue.1 , pp. 96
    • Jian, W.1    Sun, X.2    Luo, S.3
  • 25
    • 79954609832 scopus 로고    scopus 로고
    • Automatic breast density segmentation: An integration of different approaches
    • 10.1088/0031-9155/56/9/005 0031-9155
    • Kallenberg M G, Lokate M, van Gils C H and Karssemeijer N 2011 Automatic breast density segmentation: an integration of different approaches Phys. Med. Biol. 56 2715
    • (2011) Phys. Med. Biol. , vol.56 , Issue.9 , pp. 2715
    • Kallenberg, M.G.1    Lokate, M.2    Van Gils, C.H.3    Karssemeijer, N.4
  • 26
    • 0022266928 scopus 로고
    • A new method for graylevel picture thresholding using the entropy of the histogram
    • 10.1016/0734-189X(85)90125-2 0734-189X
    • Kapur J N, Sahoo P K and Wong A K C 1985 A new method for graylevel picture thresholding using the entropy of the histogram Comput. Vis. Graph. Image Process. 29 273-85
    • (1985) Comput. Vis. Graph. Image Process. , vol.29 , Issue.3 , pp. 273-285
    • Kapur, J.N.1    Sahoo, P.K.2    Wong, A.K.C.3
  • 27
    • 79959834793 scopus 로고    scopus 로고
    • Effect of obesity on prostate-specific antigen, prostate volume, and international prostate symptom score in patients with benign prostatic hyperplasia
    • 10.4111/kju.2011.52.6.401 2005-6737
    • Kim J M, Song P H, Kim H T and Moon K H 2011 Effect of obesity on prostate-specific antigen, prostate volume, and international prostate symptom score in patients with benign prostatic hyperplasia Korean J. Urol. 52 401-5
    • (2011) Korean J. Urol. , vol.52 , Issue.6 , pp. 401-405
    • Kim, J.M.1    Song, P.H.2    Kim, H.T.3    Moon, K.H.4
  • 28
    • 41449115925 scopus 로고    scopus 로고
    • Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information
    • 10.1118/1.2842076 0094-2405
    • Klein S, van der Heide U A, Lips I M, van Vulpen M, Staring M and Pluim J P W 2008 Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information Med. Phys. 35 1407-17
    • (2008) Med. Phys. , vol.35 , Issue.4 , pp. 1407-1417
    • Klein, S.1    Van Der Heide, U.A.2    Lips, I.M.3    Van Vulpen, M.4    Staring, M.5    Pluim, J.P.W.6
  • 29
    • 78649658695 scopus 로고    scopus 로고
    • Label fusion in atlas-based segmentation using a selective and iterative method for performance level estimation (SIMPLE)
    • 10.1109/TMI.2010.2057442 0278-0062
    • Langerak R, van der Heide U A, Kotte A N T J, Viergever M A, van Vulpen M and Pluim J P W 2010 Label fusion in atlas-based segmentation using a selective and iterative method for performance level estimation (SIMPLE) IEEE Trans. Med. Imaging 29 2000-8
    • (2010) IEEE Trans. Med. Imaging , vol.29 , Issue.12 , pp. 2000-2008
    • Langerak, R.1    Van Der Heide, U.A.2    Kotte, A.N.T.J.3    Viergever, M.A.4    Van Vulpen, M.5    Pluim, J.P.W.6
  • 32
    • 77950577125 scopus 로고    scopus 로고
    • Automated segmentation of the prostate in 3D MR images using a probabilistic atlas and a spatially constrained deformable model
    • 10.1118/1.3315367 0094-2405
    • Martin S, Troccaz J and Daanenc V 2010 Automated segmentation of the prostate in 3D MR images using a probabilistic atlas and a spatially constrained deformable model Med. Phys. 37 1579-90
    • (2010) Med. Phys. , vol.37 , Issue.4 , pp. 1579-1590
    • Martin, S.1    Troccaz, J.2    Daanenc, V.3
  • 33
    • 0035050272 scopus 로고    scopus 로고
    • Image segmentation in treatment planning for prostate cancer using the region growing technique
    • 0007-1285
    • Mazonakis M, Damilakis J, Varveris H, Prassopoulos P and Gourtsoyiannis N 2001 Image segmentation in treatment planning for prostate cancer using the region growing technique Br. J. Radiol. 74 243-8 PMID: 11338100
    • (2001) Br. J. Radiol. , vol.74 , pp. 243-248
    • Mazonakis, M.1    Damilakis, J.2    Varveris, H.3    Prassopoulos, P.4    Gourtsoyiannis, N.5
  • 36
    • 0026905254 scopus 로고
    • Nonlinear image filtering with edge and corner enhancement
    • 10.1109/34.149593 0162-8828
    • Nitzberg M and Shiota T 1992 Nonlinear image filtering with edge and corner enhancement IEEE Trans. Pattern Anal. Mach. Intell. 14 826-33
    • (1992) IEEE Trans. Pattern Anal. Mach. Intell. , vol.14 , Issue.8 , pp. 826-833
    • Nitzberg, M.1    Shiota, T.2
  • 37
    • 34248179162 scopus 로고    scopus 로고
    • Automatic segmentation of pelvic structures from magnetic resonance images for prostate cancer radiotherapy
    • 10.1016/j.ijrobp.2007.02.005 0360-3016
    • Pasquier D, Lacornerie T, Vermandel M, Rousseau J, Lartigau E and Betrouni N 2007 Automatic segmentation of pelvic structures from magnetic resonance images for prostate cancer radiotherapy Int. J. Radiat. Oncol. Biol. Phys. 68 592-600
    • (2007) Int. J. Radiat. Oncol. Biol. Phys. , vol.68 , Issue.2 , pp. 592-600
    • Pasquier, D.1    Lacornerie, T.2    Vermandel, M.3    Rousseau, J.4    Lartigau, E.5    Betrouni, N.6
  • 38
    • 0025465145 scopus 로고
    • Scale-space and edge detection using anisotropic diffusion
    • 10.1109/34.56205 0162-8828
    • Perona P and Malik J 1990 Scale-space and edge detection using anisotropic diffusion IEEE Trans. Pattern Anal. Mach. Intell. 12 629-39
    • (1990) IEEE Trans. Pattern Anal. Mach. Intell. , vol.12 , Issue.7 , pp. 629-639
    • Perona, P.1    Malik, J.2
  • 39
    • 0026122636 scopus 로고
    • Computing oriented texture fields
    • 10.1016/1049-9652(91)90059-S 1049-9652
    • Rao A and Schunck B G 1991 Computing oriented texture fields CVGIP: Graph. Models Image Process. 53 157-85
    • (1991) CVGIP: Graph. Models Image Process. , vol.53 , Issue.2 , pp. 157-185
    • Rao, A.1    Schunck, B.G.2
  • 42
    • 84862520770 scopus 로고    scopus 로고
    • Fiji: An open-source platform for biological-image analysis
    • 10.1038/nmeth.2019 1548-7091
    • Schindelin J et al 2012 Fiji: an open-source platform for biological-image analysis Nature Methods 9 676-82
    • (2012) Nature Methods , vol.9 , Issue.7 , pp. 676-682
    • Schindelin, J.1
  • 45
    • 84860601047 scopus 로고    scopus 로고
    • Comparison of support vector machine, neural network, and CART algorithms for the land-cover classification using limited training data points
    • 10.1016/j.isprsjprs.2012.04.001 0924-2716
    • Shao Y and Lunetta R S 2012 Comparison of support vector machine, neural network, and CART algorithms for the land-cover classification using limited training data points ISPRS J. Photogramm. Remote Sens. 70 78-87
    • (2012) ISPRS J. Photogramm. Remote Sens. , vol.70 , pp. 78-87
    • Shao, Y.1    Lunetta, R.S.2
  • 46
    • 0023233060 scopus 로고
    • Prostate-specific antigen as a serum marker for adenocarcinoma of the prostate
    • 10.1056/NEJM198710083171501 0028-4793
    • Stamey T A, Yang N, Hay A R, McNeal J E, Freiha F S and Redwine E 1987 Prostate-specific antigen as a serum marker for adenocarcinoma of the prostate New. Engl. J. Med. 317 909-16
    • (1987) New. Engl. J. Med. , vol.317 , Issue.15 , pp. 909-916
    • Stamey, T.A.1    Yang, N.2    Hay, A.R.3    McNeal, J.E.4    Freiha, F.S.5    Redwine, E.6
  • 47
    • 0025906604 scopus 로고
    • Determination of prostate volume by transrectal ultrasound
    • Terris M K and Stamey T A 1991 Determination of prostate volume by transrectal ultrasound J. Urol. 145 984-7 PMID: 2016815
    • (1991) J. Urol. , vol.145 , pp. 984-987
    • Terris, M.K.1    Stamey, T.A.2
  • 50
    • 79851508419 scopus 로고    scopus 로고
    • A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation
    • 10.1016/j.media.2010.09.002 1361-8415
    • Toth R, Tiwari P, Rosen M, Reed G, Kurhanewicz J, Kalyanpur A, Pungavkar S and Madabhushi A 2011b A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation Med. Image Anal. 15 214-25
    • (2011) Med. Image Anal. , vol.15 , Issue.2 , pp. 214-225
    • Toth, R.1    Tiwari, P.2    Rosen, M.3    Reed, G.4    Kurhanewicz, J.5    Kalyanpur, A.6    Pungavkar, S.7    Madabhushi, A.8
  • 52
    • 0141504937 scopus 로고    scopus 로고
    • Relationship between age, prostate volume, prostate-specific antigen, symptom score and uroflowmetry in men with lower urinary tract symptoms
    • 10.1080/00365590310014760 0036-5599
    • Vesely S, Knutson T, Damber J E, Dicuio M and Dahlstrand C 2003 Relationship between age, prostate volume, prostate-specific antigen, symptom score and uroflowmetry in men with lower urinary tract symptoms Scand. J. Urol. Nephrol. 37 322-8
    • (2003) Scand. J. Urol. Nephrol. , vol.37 , Issue.4 , pp. 322-328
    • Vesely, S.1    Knutson, T.2    Damber, J.E.3    Dicuio, M.4    Dahlstrand, C.5
  • 53
    • 79953680469 scopus 로고    scopus 로고
    • Cohort profile: The study of health in Pomerania
    • 10.1093/ije/dyp394 0300-5771
    • Völzke H et al 2011 Cohort profile: the study of health in Pomerania Int. J. Epidemiol. 40 294-307
    • (2011) Int. J. Epidemiol. , vol.40 , Issue.2 , pp. 294-307
    • Völzke, H.1
  • 54
    • 77951285135 scopus 로고    scopus 로고
    • Discrete deformable model guided by partial active shape model for TRUS image segmentation
    • 10.1109/TBME.2009.2037491 0018-9294
    • Yan P, Xu S, Turkbey B and Kruecker J 2010 Discrete deformable model guided by partial active shape model for TRUS image segmentation IEEE Trans. Biomed. Eng. 57 1158-66
    • (2010) IEEE Trans. Biomed. Eng. , vol.57 , Issue.5 , pp. 1158-1166
    • Yan, P.1    Xu, S.2    Turkbey, B.3    Kruecker, J.4
  • 57
    • 34250700622 scopus 로고    scopus 로고
    • A hybrid ASM approach for sparse volumetric data segmentation
    • 10.1134/S1054661807020125 1054-6618
    • Zhu Y, Williams S and Zwiggelaar R 2007 A hybrid ASM approach for sparse volumetric data segmentation Pattern Recognit. Image Anal. 17 252-8
    • (2007) Pattern Recognit. Image Anal. , vol.17 , Issue.2 , pp. 252-258
    • Zhu, Y.1    Williams, S.2    Zwiggelaar, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.